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Information Diffusion Techniques And Small-Sample Problem

Author

Listed:
  • CHONGFU HUANG

    (Institute of Resources Science, Beijing Normal University, No. 19 Xinjiekouwai Street, Beijing 100875, China)

Abstract

Strong interests in the small-sample problem have been given towards for establishing several information diffusion techniques for pattern recognition. In this paper, we review and formalize three techniques: the soft histogram, the self-study discrete regression, and the interior-outer-set model. To promote the development of this area, in this paper we suggest two open topics: the anti-accuracy principle and the digital image compression technique based on the fuzzy if-then rules extracted by using information matrix technique.

Suggested Citation

  • Chongfu Huang, 2002. "Information Diffusion Techniques And Small-Sample Problem," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 1(02), pages 229-249.
    • Handle: RePEc:wsi:ijitdm:v:01:y:2002:i:02:n:s0219622002000142
    DOI: 10.1142/S0219622002000142
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